Witold B. Rybka
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments 9
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation 37
- Acute Myeloid Leukemia Research 14
- Immunology top 5%
- Immune Cell Function and Interaction 12
- Oncology top 5%
- Neutropenia and Cancer Infections 8
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 6
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- Acute Lymphoblastic Leukemia research 10
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- Pancreatic function and diabetes 7
- Co-authors
- David F. ClaxtonW. Christopher EhmannHong ZhengTodd D. SchellHui ZengLiuluan ZhuYaxian KongEdward D. Ball
- Cited by
- TransplantationHematologyImmunology
- Journals
- Transplantation (6 papers)Blood (6 papers)Biology of Blood and Marrow Transplantation (5 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Witold B. Rybka
77 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 79
- Transplantation 225
- Hematology 663
- Immunology 797
- Oncology 676
- Genetics 182
Countries citing papers authored by Witold B. Rybka
This map shows the geographic impact of Witold B. Rybka's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Witold B. Rybka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Witold B. Rybka more than expected).
Fields of papers citing papers by Witold B. Rybka
This network shows the impact of papers produced by Witold B. Rybka. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Witold B. Rybka. The network helps show where Witold B. Rybka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Witold B. Rybka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2021 | 24 | |
| 3 | 2019 | 48 | |
| 4 | 2018 | 20 | |
| 5 | 2017 | 52 | |
| 6 | 2016 | 230 | |
| 7 | 2014 | 8 | |
| 8 | 2012 | 18 | |
| 9 | 2004 | 2 | |
| 10 | 2002 | 8 | |
| 11 | 1999 | 2 | |
| 12 | 1997 | 4 | |
| 13 | 1997 | 23 | |
| 14 | 1996 | 7 | |
| 15 | 1995 | 24 | |
| 16 | 1995 | 39 | |
| 17 | 1995 | 35 | |
| 18 | Simultaneous solid organ, bone marrow, and islet allotransplantation in type I diabetic patients. | 1994 | 8 |
| 19 | 1994 | 262 | |
| 20 | 1989 | 9 |
About Witold B. Rybka
Witold B. Rybka is a scholar working on Hematology, Transplantation and Genetics, having authored 79 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (37 papers), Acute Myeloid Leukemia Research (14 papers), Immune Cell Function and Interaction (12 papers), Acute Lymphoblastic Leukemia research (10 papers), Renal Transplantation Outcomes and Treatments (9 papers), Neutropenia and Cancer Infections (8 papers), Pancreatic function and diabetes (7 papers) and Chronic Lymphocytic Leukemia Research (6 papers). The work is most often cited by research in Transplantation (225 citations), Hematology (663 citations) and Immunology (797 citations). Witold B. Rybka has collaborated with scholars based in United States, Canada and China. Frequent co-authors include David F. Claxton, W. Christopher Ehmann, Hong Zheng, Todd D. Schell, Hui Zeng, Liuluan Zhu, Yaxian Kong, Edward D. Ball, Paulo Fontes and Massimo Trucco. Their work appears in journals such as Transplantation, Blood, Biology of Blood and Marrow Transplantation, Stem Cells and Bone Marrow Transplantation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.